import numpy as np
import torch
import random
import math
import torch.nn.functional as F

import matplotlib.pyplot as plt

x = [1, 2, 3]
y = [4, 5, 6]
fig, axs = plt.subplots(2, 2)
axs[0, 0].plot(x, y)
axs[0, 1].plot(x, y)
axs[1, 0].plot(x, y)
axs[1, 1].plot(x, y)
# plt.show()

# plt.subplots_adjust(left=0.1, bottom=0.5, right=0.8, wspace=0.01)
# plt.subplots_adjust(left=0.1, top=1, bottom=0, right=0.8, wspace=0.01)
# plt.subplots_adjust(left=0.1, bottom=0.5, right=0.8, wspace=1)
# plt.subplots_adjust(left=0.1, bottom=0.5, right=0.8, wspace=1, hspace=1)
#
plt.show()